Model for Doctor of Nursing Practice Projects Based on Cross-Fertilization Between Improvement and Implementation Sciences: Protocol for Quality Improvement and Program Evaluation Studies

BACKGROUND

Hundreds of nursing professionals graduate each year from Doctor of Nursing Practice (DNP) programs, entrusted with roles as practice scholars and leaders. Graduates are tasked to lead multidisciplinary knowledge implementation projects to improve safety, quality, and key performance metrics. Nevertheless, there is a continued lack of agreement and faculty dissatisfaction with the format, focus, and results of the DNP graduation projects. The use of a wide range of models and methodologies from different sciences for knowledge implementation introduces challenges to DNP students; affects the scientific rigor of the projects; and results in the overuse, superficial use, or misuse of the models. Quality improvement (QI) and program evaluation studies are substantial investments that may lead to waste and even harm if not well conducted. Traditional QI methodologies, commonly used in DNP projects, were found to be uncertain in improving health care outcomes. The complexity of health care systems calls for cross-fertilization between improvement and implementation sciences to improve health care outcomes.

OBJECTIVE

This study describes the development, implementation, and evaluation of a hybrid model for QI and program evaluation studies to guide scholarship in the DNP program.

METHODS

The hybrid model was based on cross-fertilization between improvement and implementation sciences. The model adapted the Getting to Outcome (GTO) and Knowledge to Action (KTA) models as the overarching process models for knowledge implementation. Within each phase of the GTO and KTA models, expected barriers and facilitators for the implementation and adoption of innovation were identified based on the CFIR (Consolidated Framework for Implementation Research). Accordingly, strategies to facilitate the implementation and adoption of innovations were identified based on a refined list of implementation strategies and QI tools. The choice of these models was based on the top 5 criteria for selecting implementation science theories and frameworks. Seven DNP students used the hybrid model to conduct QI projects. Students evaluated their experiences by responding to a Qualtrics survey.

RESULTS

The hybrid model encouraged a comprehensive systematic way of thinking, provided tools essential to implementation success, emphasized the need for adaptability in implementation, maintained rigor in QI, and guided the sustainability of change initiatives. Some of the challenges faced by students included finding reliable and valid measures, attaining and maintaining staff buy-in, and competing organizational priorities.

CONCLUSIONS

Cross-fertilization between improvement and implementation sciences provided a roadmap and systematic thinking for successful QI projects in the DNP program. The integration of the CFIR with the GTO or KTA process models, enforced by the use of evidence-based implementation strategies and QI tools, reflected the complexity of health care systems and emphasized the need for adaptability in implementation.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR1-10.2196/54213.

Developing and Testing a Protocol for Managing Cardiopulmonary Resuscitation of Patients with Suspected or Confirmed COVID-19: An In-Situ Simulation Study (Preprint)

Background

Resuscitating patients with suspected or confirmed COVID-19 imposes unique challenges to organizations and code blue teams. Studies that applied the American Heart Association (AHA) COVID-19–related Interim Resuscitation Guideline and similar European guidelines are scarce.

Objective

This study aimed to develop and test a cardiopulmonary resuscitation protocol based on the AHA COVID-19–related Interim Resuscitation Guideline.

Methods

The study was conducted as an in situ simulation in a medical intensive care unit. The COVID-19 cardiopulmonary resuscitation protocol was created and validated by 11 health care team members and tested using 4 simulation sessions where 46 code blue team members participated. During the simulation, we observed role clarity, the effectiveness of communication, team dynamics, infection control measures, and the availability of essential supplies and equipment.

Results

The main issues identified in each simulation session were debriefed to the code blue teams and used to further revise the protocol. These include the assignment of tasks, availability of equipment and supplies, and failure of communication between the in-room and out-of-room teams. Solutions included changes in the placement of team members and roles and responsibilities; the creation of an isolation code medication package, a respiratory therapy kit, and an isolation code blue bag; and the use of two-way radios and N-95 masks with eye goggles to enhance communication between the teams.

Conclusions

This study shed light on the challenges to implement the AHA COVID-19–related Interim Resuscitation Guideline. The in situ simulation was an effective approach for rapid training, identifying unreliable equipment and ineffective and inefficient workflow, and managing the complexity of the physical environment.

Determinants of depressive symptoms in Jordanian working women

Depressive symptoms are an epidemic problem affecting different subgroups of women in clinical and non-clinical settings. However, depressive symptoms experienced by working women have rarely been studied. This study aimed at identifying depressive symptoms and their determinants in a sample of 101 Jordanian working women recruited from a higher educational institution. Data about women's depressive symptoms, their educational level, presence of children, sharing a job with an intimate partner, health status, diagnosis with chronic illnesses, and complaints of spousal abuse were collected. Logistic regression analysis was used to test for the significance of the selected factors on women's experiences of depressive symptoms. Findings indicated that 51.2% (n = 42) women complained of moderate and severe levels of depressive symptoms. Factors identified as significant in predicting depressive symptoms were women's experiences of spousal abuse (odds ratio adjusted = 3.5, 95% confidence interval = 1.05-11.7) and being diagnosed with chronic illnesses (odds ratio adjusted = 7.09, 95% confidence interval = 1.2-42.2). It was concluded that causes of women's depressive symptoms were imbedded in their familial and social environment, rather than their job per se. Mental health nurses can change the practice of nursing to better standards. Being familiarized with causes of depressive symptoms can empower nurses to be active advocates for depressed women.